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2014 | 191 | 65-74

Article title

Porównanie zdolności predykcyjnych modelu regresji grzbietowej z wybranymi nieparametrycznymi modelami regresji

Content

Title variants

EN
Comparing the Performance of the Ridge Regression with Some Nonparametric Regression Models

Languages of publication

PL

Abstracts

EN
The paper presents a short description of ridge regression and comparing the performance of this regression with some nonparametric methods of regression. The analysis was conducted with the use of simulation procedures on benchmarking data sets.

Year

Volume

191

Pages

65-74

Physical description

Contributors

References

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  • Hastie T., Tibshirani R., Friedman J., The Elements of Statistical Learning: Data Mining, Inference and Prediction, Springer Series in Statistics, Springer Verlag, New York 2001.
  • Hoerl A.E., Kennard R.W., Ridge Regression: Applications to Nonorthogonal Problems, "Technometrics" 1970, Vol. 12, s. 69-82.
  • Hoerl A.E., Kennard R.W., Ridge Regression: Biased Estimation for Nonorthogonal Problems, "Technometrics" 1970, Vol. 12, s. 55-67.
  • Hothorn T., Leisch F., Zeileis A., Hornik K., The Design and Analysis of Benchmark Experiments, "Journal of Computational and Graphical Statistics" 2005, Vol. 14(3), s. 675-699.
  • Kohavi R., A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection, "IJCAI" 1995, s. 1137-1145.
  • Kooperberg C., Bose S., Stone C., Polychotomous Regression, "Journal of the American Statistical Association" 1997, Vol. 92, s. 117-127.
  • Maddala G.S., Ekonometria, WN PWN, Warszawa 2006.
  • Trzęsiok J., Porównanie nieparametrycznych modeli regresji pod względem zdolności predykcyjnych, [w:] Metody i modele analiz ilościowych w ekonomii i zarządzaniu cz. 4, red. J. Mika, Wydawnictwo Uniwersytetu Ekonomicznego, Katowice 2012, s. 102-111.
  • Welfe A., Ekonometria, PWE, Warszawa 2003.

Document Type

Publication order reference

Identifiers

ISSN
2083-8611

YADDA identifier

bwmeta1.element.desklight-2531db26-25aa-4778-93fa-29c379169104
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